Evidence map›Paper›PMID 27642070›Full record

ArticleScientific reports2016

A Direct Comparison of Two Densely Sampled HIV Epidemics: The UK and Switzerland.

Manon L Ragonnet-Cronin, Mohaned Shilaih, Huldrych F Günthard, Emma B Hodcroft, Jürg Böni, Esther Fearnhill, David Dunn, Sabine Yerly, Thomas Klimkait, Vincent Aubert and 5 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Trends in the Molecular Epidemiology and Genetic Mechanisms of Transmitted Human Immunodeficiency Virus Type 1 Drug Resistance in a Large US Clinic Population.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Manon L Ragonnet-CroninUniversity of Edinburgh, Edinburgh, UK.
Mohaned ShilaihDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Huldrych F GünthardDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Emma B HodcroftUniversity of Edinburgh, Edinburgh, UK.
Jürg BöniInstitute of Medical Virology, University of Zurich, Zurich, Switzerland.
Esther FearnhillMRC Clinical Trials Unit, London, UK.
David DunnMRC Clinical Trials Unit, London, UK.
Sabine YerlyLaboratory of Virology and AIDS Center, Geneva University Hospital, Geneva, Switzerland.
Thomas KlimkaitDepartment Biomedicine-Petersplatz, University of Basel, Basel, Switzerland.
Vincent AubertDivision of Immunology and Allergy, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Wan-Lin YangDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Alison E BrownPublic Health England, London, UK.
Samantha J LycettUniversity of Edinburgh, Edinburgh, UK.
Roger KouyosDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Andrew J Leigh BrownUniversity of Edinburgh, Edinburgh, UK.

Funding

Modeling Epidemic Infectious Diseases Using Sequence AnalysisU01GM110749 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2014 to 2018
$3.0M
Biotechnology and Biological Sciences Research Council BB/F017030/1Medical Research Council G0900274Medical Research Council MC_UU_12023/15Medical Research Council MR/M004236/1NIGMS NIH HHS U01 GM110749Wellcome TrustWellcome Trust 092807
6 · The paper itself

Abstract

Phylogenetic clustering approaches can elucidate HIV transmission dynamics. Comparisons across countries are essential for evaluating public health policies. Here, we used a standardised approach to compare the UK HIV Drug Resistance Database and the Swiss HIV Cohort Study while maintaining data-protection requirements. Clusters were identified in subtype A1, B and C pol phylogenies. We generated degree distributions for each risk group and compared distributions between countries using Kolmogorov-Smirnov (KS) tests, Degree Distribution Quantification and Comparison (DDQC) and bootstrapping. We used logistic regression to predict cluster membership based on country, sampling date, risk group, ethnicity and sex. We analysed >8,000 Swiss and >30,000 UK subtype B sequences. At 4.5% genetic distance, the UK was more clustered and MSM and heterosexual degree distributions differed significantly by the KS test. The KS test is sensitive to variation in network scale, and jackknifing the UK MSM dataset to the size of the Swiss dataset removed the difference. Only heterosexuals varied based on the DDQC, due to UK male heterosexuals who clustered exclusively with MSM. Their removal eliminated this difference. In conclusion, the UK and Swiss HIV epidemics have similar underlying dynamics and observed differences in clustering are mainly due to different population sizes.

Indexed as

EpidemicsCluster AnalysisFemaleHeterosexualityHIV-1HIV InfectionsHomosexuality, MaleHumansLogistic ModelsMalePhylogenypol Gene Products, Human Immunodeficiency VirusRisk FactorsSwitzerlandUnited Kingdompol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID27642070
PMCPMC5027562

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.